Remote AI Runtime Security Architect

Palo Alto Networks

United States

Remoto

USD 175.000 - 241.000

Tempo pieno

6 giorni fa
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Descrizione del lavoro

Palo Alto Networks is seeking a Global Solutions Architect for AI Runtime Security to guide customers from deployment to operation of the Prisma AIRS platform. You will secure AI/ML pipelines, design standardized methodologies, and create reusable IP for a worldwide consulting and partner network.

You will lead strategic deployments, conduct workshops, and collaborate with Product Management and Engineering to influence future AI security offerings while traveling to client sites and Palo Alto

Competenze

  • BS in Computer Science or equivalent education/training/experience.
  • 5+ years in a customer-facing technical role (e.g., PS, Solutions Architecture).
  • 3+ years with Public Cloud Platforms Architecture and Security Solution Development (Azure, AWS and GCP).
  • Hands-on experience with AI/ML concepts and ML lifecycle (MLOps).
  • Solid understanding of Large Language Models and AI security challenges.

Mansioni

  • Lead customers through securing AI and ML pipelines from development to runtime.
  • Deploy and operationalize Prisma AIRS suite across customer environments.
  • Create standardized methodologies and reusable IP for global teams.
  • Develop and deliver technical workshops and training sessions.
  • Collaborate with Product Management and Engineering to shape product roadmap.

Conoscenze

Cloud platforms
Python
Terraform
Docker
Kubernetes
LLM security
Adversarial ML
MLOps
Workshop delivery
Cross-functional

Formazione

BS in Computer Science

Strumenti

TensorFlow
PyTorch
Azure
AWS
GCP

Descrizione del lavoro

Palo Alto Networks is seeking a Global Solutions Architect for AI Runtime Security to guide customers from deployment to operation of the Prisma AIRS platform. You will secure AI/ML pipelines, design standardized methodologies, and create reusable IP for a worldwide consulting and partner network.

You will lead strategic deployments, conduct workshops, and collaborate with Product Management and Engineering to influence future AI security offerings while traveling to client sites and Palo Alto

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